Senior, Data Scientist - Workforce Intelligence
Walmart
Bentonville, AR (In Person)
$135,000 Salary, Full-Time
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Job Description
- Position Summary...
- What you'll do...
- About Workforce Intelligence
Forecasting :
Workforce Intelligence is the engine behind- Walmart's labor allocation strategy
- . We enable optimal labor planning for
- ~1.6M associates across ~4,600 stores
- by designing and delivering forecasting solutions that help our stores operate efficiently and provide exceptional customer experiences. Our work blends
- machine learning, advanced analytics and statistics, GenAI, and deep operational and financial data to predict labor demand with high precision
- —ensuring the right associates are in the right place at the right time. Join Walmart's Workforce Forecasting team as a
- Senior Data Scientist
- and help shape the future of labor forecasting at Fortune 1 scale. This is a high-impact opportunity to drive workforce solutions, improve forecasting and allocation, and influence operational excellence across the enterprise.
- What you'll do...
- + Partner cross functionally across Store Operation, Supply Chain, Transportation and Workforce Intelligence team to
- understand the current business and future scope and translate them into labor forecasting strategy
- + Work with the forecasting team to
- develop new forecasting capabilities
- to support the aligned broader labor strategy +
- Improve the accuracy and robustness of the end-to-end forecasting suite
- through innovative modeling approaches and optimization techniques + Work closely with the internal team and finance
- to provide Business As Usual (BAU) and Annual Operating Plan (AOP) forecasts
- + •Leverage•GenAI•and•ML/AI•algorithms to help build a scalable platform•that supports automation across the model lifecycle (runs, evaluation, data validation, drift monitoring, and deployment).
- identify process gaps and develop data science solutions
- that improve business outcomes.
What You'll Bring:
- + •Master's degree in a relevant field•(Business Analytics, Data Science, Statistics, Software Engineering, ML Engineering, Computer Science) + •3+ years' experience•in building and delivering real life data science products in relevant industry (Workforce/Store Ops experience plus) + •Strong technical acumen in SQL, Python, ML/AI, Statistics•(GenAI hands-on experience preferred) + Experience in retail or supply chain environments is a plus + •A self-directed, curious, outcome-oriented mindset•—able to operate with minimal supervision and drive work forward independently.
Walmart (https://one.walmart.com/) . The annual salary range for this position is $90,000.00
- $180,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock ㅤ ㅤ ㅤ ㅤ
- Minimum Qualifications...
- _Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications._ Option 1
- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2
- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3
- 5 years' experience in an analytics or related field.
- Preferred Qualifications...
- _Outlined below are the optional preferred qualifications for this position.
Supervising Associates Masters:
Economics Project Management- Project Management Professional
- Certification
- Primary Location...
- 802 Respect Dr, Bentonville, AR 72716, United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job.
Walmart, Inc. is an Equal Opportunity Employer
- By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity
- unique styles, experiences, identities, abilities, ideas and opinions
- while being inclusive of all people.
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